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Justus Piater
Justus Piater
Professor of Computer Science, University of Innsbruck, Austria
Bestätigte E-Mail-Adresse bei uibk.ac.at - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Deep hierarchies in the primate visual cortex: What can we learn for computer vision?
N Kruger, P Janssen, S Kalkan, M Lappe, A Leonardis, J Piater, ...
IEEE transactions on pattern analysis and machine intelligence 35 (8), 1847-1871, 2012
3992012
Random subwindows for robust image classification
R Marée, P Geurts, J Piater, L Wehenkel
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
3442005
Learning grasp affordance densities
R Detry, D Kraft, O Kroemer, L Bodenhagen, J Peters, N Krüger, J Piater
Paladyn 2, 1-17, 2011
2122011
Object–action complexes: Grounded abstractions of sensory–motor processes
N Krüger, C Geib, J Piater, R Petrick, M Steedman, F Wörgötter, A Ude, ...
Robotics and Autonomous Systems 59 (10), 740-757, 2011
2052011
Combining active learning and reactive control for robot grasping
OB Kroemer, R Detry, J Piater, J Peters
Robotics and Autonomous systems 58 (9), 1105-1116, 2010
1802010
Affordances in psychology, neuroscience, and robotics: A survey
L Jamone, E Ugur, A Cangelosi, L Fadiga, A Bernardino, J Piater, ...
IEEE Transactions on Cognitive and Developmental Systems 10 (1), 4-25, 2016
1732016
Developing haptic and visual perceptual categories for reaching and grasping with a humanoid robot
J Coelho, J Piater, R Grupen
Robotics and Autonomous Systems 37 (2-3), 195-218, 2001
1692001
RWTH-PHOENIX-weather: A large vocabulary sign language recognition and translation corpus.
J Forster, C Schmidt, T Hoyoux, O Koller, U Zelle, JH Piater, H Ney
LREC 9, 3785-3789, 2012
1652012
The state of the art in multiple object tracking under occlusion in video sequences
PF Gabriel, JG Verly, JH Piater, A Genon
Advanced Concepts for Intelligent Vision Systems, 166-173, 2003
1642003
Multi-camera people tracking by collaborative particle filters and principal axis-based integration
W Du, J Piater
Computer Vision–ACCV 2007: 8th Asian Conference on Computer Vision, Tokyo …, 2007
1322007
Bottom-up learning of object categories, action effects and logical rules: From continuous manipulative exploration to symbolic planning
E Ugur, J Piater
2015 IEEE International Conference on Robotics and Automation (ICRA), 2627-2633, 2015
1092015
Online Learning of Gaussian Mixture Models-a Two-Level Approach.
A Declercq, JH Piater
VISAPP (1), 605-611, 2008
912008
Computational models of affordance in robotics: a taxonomy and systematic classification
P Zech, S Haller, SR Lakani, B Ridge, E Ugur, J Piater
Adaptive Behavior 25 (5), 235-271, 2017
882017
A probabilistic framework for 3D visual object representation
R Detry, N Pugeault, JH Piater
IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (10), 1790 …, 2009
872009
A simple ontology of manipulation actions based on hand-object relations
F Wörgötter, EE Aksoy, N Krüger, J Piater, A Ude, M Tamosiunaite
IEEE Transactions on Autonomous Mental Development 5 (2), 117-134, 2013
852013
Multi-modal tracking of interacting targets using Gaussian approximations
JH Piater, JL Crowley
Second IEEE international workshop on performance evaluation of tracking and …, 2001
852001
Generalizing grasps across partly similar objects
R Detry, CH Ek, M Madry, J Piater, D Kragic
2012 IEEE International Conference on Robotics and Automation, 3791-3797, 2012
732012
Symbol emergence in cognitive developmental systems: a survey
T Taniguchi, E Ugur, M Hoffmann, L Jamone, T Nagai, B Rosman, ...
IEEE transactions on Cognitive and Developmental Systems 11 (4), 494-516, 2018
682018
Teaching a robot the semantics of assembly tasks
TR Savarimuthu, AG Buch, C Schlette, N Wantia, J Roßmann, D Martínez, ...
IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (5), 670-692, 2017
682017
25 years of cnns: Can we compare to human abstraction capabilities?
S Stabinger, A Rodríguez-Sánchez, J Piater
Artificial Neural Networks and Machine Learning–ICANN 2016: 25th …, 2016
662016
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